AI agents break traditional access controls. Learn how authorization must change to handle non-deterministic, high-speed agents and the new risks they present.
An overview of prompt injection and how untrusted input and model output can trigger over-privileged actions
AI agents risk data breaches when untrusted input, sensitive data, and exfiltration combine. Learn how authorization and least privilege reduce these threats.
The Rule of Two is a security framework from Meta that states AI agents must satisfy at most two of three properties: processing untrusted inputs, accessing sen
AI agents move faster than humans, and fail harder. Learn how to contain rogue agents with context-aware permissions, JIT access, and centralized authorization.
Learn how to securely set AI agent permissions with delegated access, just-in-time credentials, human-in-the-loop checks, and behavioral guardrails.
Learn how AI agents using Model Context Protocol (MCP) authorize securely with OAuth 2.1, PKCE, DCR, and frameworks like Oso, RBAC, and ABAC.
AI agents move fast, and without proper authorization, they can do real damage. Learn how to secure AI agents with MCP, OAuth 2.1, and Oso’s policy-as-code.
AI agents act faster than humans, which means misconfigured permissions can spiral instantly. Learn how context-aware access models prevent cascading failures.